Name
Abstract | ||
|---|---|---|
This paper presents an adaptation of the Ant System method to find the optimal control input for blood glucose regulation using Model Predictive Control (MPC). The Ant System optimization method was implemented to solve a linear MPC problem and performance was compared with the interior point method for optimization. The Ant System was found to perform well for the linear MPC problem and has the advantage over the interior point method as it can extended for use with non-linear MPC problems. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2350716.2350749 | SoICT |
Keywords | Field | DocType |
blood glucose regulation,ant system,linear mpc problem,ant colony optimization,optimal control input,interior point method,model predictive control,non-linear mpc problem,ant system optimization method,ant system method,optimal control | Ant colony optimization algorithms,Artificial pancreas,Mathematical optimization,Optimal control,Computer science,System optimization,Model predictive control,Blood sugar regulation,Interior point method | Conference |
Citations | PageRank | References |
1 | 0.35 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yvonne Ho | 1 | 19 | 2.16 |
| Binh P. Nguyen | 2 | 80 | 10.61 |
| Chee-Kong Chui | 3 | 245 | 38.34 |